Debt Specialization

This paper examines debt structure using a new and comprehensive database on types of debt employed by public U.S. firms. We find that 85% of the sample firms borrow predominantly with one type of debt, and the degree of debt specialization varies widely across different subsamples—large rated firms tend to diversify across multiple debt types, while small unrated firms specialize in fewer types. We suggest several explanations for why debt specialization takes place, and show that firms employing few types of debt have higher bankruptcy costs, are more opaque, and lack access to some segments of the debt markets.     

Simulated Non-Parametric Estimation of Dynamic Models

This paper introduces a new class of parameter estimators for dynamic models, called simulated non-parametric estimators (SNEs). The SNE minimizes appropriate distances between non-parametric conditional (or joint) densities estimated from sample data and non-parametric conditional (or joint) densities estimated from data simulated out of the model of interest. Sample data and model-simulated data are smoothed with the same kernel, which considerably simplifies bandwidth selection for the purpose of implementing the estimator. Furthermore, the SNE displays the same asymptotic efficiency properties as the maximum-likelihood estimator as soon as the model is Markov in the observable variables. The methods introduced in this paper are fairly simple to implement, and possess finite sample properties that are well approximated by the asymptotic theory. We illustrate these features within typical estimation problems that arise in financial economics.     

U.S. Banking Sector Operational Losses and the Macroeconomic Environment

Using supervisory data from large U.S. bank holding companies (BHCs), we find that BHCs incur more operational losses in adverse macroeconomic conditions driven significantly by the higher frequency and severity of tail events. Among different operational risk types, we find that losses from BHCs' failure to meet obligations to clients or from the design of their products are particularly countercyclical. We also show that larger and more leveraged BHCs have a higher macroeconomic sensitivity of operational risk. Overall, our findings provide new evidence regarding U.S. banking organizations' exposure to macroeconomic shocks with implications for risk management practices and supervisory policy.     

Investor Tax Credits and Entrepreneurship: Evidence from U.S. States

Angel investor tax credits are used globally to spur high-growth entrepreneurship. Exploiting their staggered implementation in 31 U.S. states, we find that they increase angel investment yet have no significant impact on entrepreneurial activity. Two mechanisms explain these results: crowding out of alternative financing and low sensitivity of professional investors to tax credits. With a large-scale survey and a stylized model, we show that low responsiveness among professional angels may reflect the fat-tailed return distributions that characterize high-growth startups. The results contrast with evidence that direct subsidies to firms have positive effects, raising concerns about promoting entrepreneurship with investor subsidies.